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Analytics Lead

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Onsite

Analytics Lead

Lyft

Analytics Lead

Skills

SQL QueriesPythonData ScienceData AnalysisCustomer Support

3 months ago

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Important information


Salary:

CA$96,000 – CA$120,000 / year

Location:

Toronto, ON, Canada

Work mode:

Onsite

Published on:

8 August 2026

What they need


Who you are

  • Degree in a quantitative field like statistics, economics, applied math, operations research or engineering. Advanced degrees are preferred
  • 2+ years of hands-on technical experience in a data science role or equivalent analytical role in a high growth startup
  • Ability to translate unstructured business problems into clearly defined requirements with minimal oversight
  • Strong problem-solving and analytical skills with the ability to transition between detailed data and high-level business problems
  • Exceptional communication (listening, written, and oral) skills with the ability to present findings & recommendations targeted to the audience in question
  • Strong interpersonal skills, with the ability to build relationships and trust across functions and work collaboratively
  • Proficiency in SQL and Python with ability to independently break down large datasets and synthesize inputs from multiple sources

What the job involves

  • As a Data Analytics Lead, you’ll partner directly with cross-functional stakeholders to identify opportunities and design solutions for improving our customers’ support experience
  • You’ll leverage your analytical expertise to deliver actionable insights and recommendations to drive quality business decisions with customer-facing impact
  • The ideal candidate is a critical thinker and exceptional problem solver who can build strong relationships with different teams, and who is eager to serve as a leader within the broader Support organization to drive our business forward
  • Partner with Product, Engineering, Data Science & Analytics, Business Operations and other cross-functional stakeholders to achieve business goals
  • Develop frameworks and scalable processes to drive decision-making and prioritization
  • Define the metrics used to measure the success of strategic initiatives and health of our support platform; build dashboards to track metrics over time
  • Design A/B tests and execute analyses to evaluate the impact of new product features and operational improvements
  • Work closely with cross-functional partners to deliver data-driven insights and actionable recommendations for continuously improving the customer support experience
  • Monitor and diagnose KPI performance and present findings to senior leadership

Benefits

  • Great medical, dental, and vision insurance options
  • Mental health benefits
  • In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
  • 401(k) plan to help save for your future
  • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  • Pre-tax commuter benefits
  • Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
  • Family building benefits
  • Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

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